Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)

Construction of Early-warning and Helping mechanisms for "Learning Difficulties Group" in Colleges and Universities

Authors
Yan Zhao
Corresponding Author
Yan Zhao
Available Online December 2018.
DOI
https://doi.org/10.2991/meici-18.2018.50How to use a DOI?
Keywords
Learning Difficulties Group; Early-warning System; Helping Mechanisms
Abstract

A considerable number of college students will meet the trouble of learning difficulties, also known as learning disabilities, which is a worldwide research topic in modern education. Based on the statistical analysis of the course credit data, this paper studies the reasons of learning difficulties. By establishing the course credit point index, an early-warning system for academic grades was improved. Some helping mechanisms for "learning difficulties group" were given.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
Series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-640-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/meici-18.2018.50How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yan Zhao
PY  - 2018/12
DA  - 2018/12
TI  - Construction of Early-warning and Helping mechanisms for "Learning Difficulties Group" in Colleges and Universities
BT  - Proceedings of the 2018 8th International Conference on Management, Education and Information (MEICI 2018)
PB  - Atlantis Press
SP  - 261
EP  - 264
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-18.2018.50
DO  - https://doi.org/10.2991/meici-18.2018.50
ID  - Zhao2018/12
ER  -